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Free AI Agents course
Building Intelligent AI Agents
Learn the fundamentals of AI agents, including decision-making models, autonomous behavior, and Python implementation. Enroll in our free AI Agent course and gain practical skills through hands-on coding and real-world examples.
Instructor:
Ms. Sneha VKBuilding Intelligent AI Agents
3.6K+ learners enrolled so far
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Skills you will gain
Understanding AI Agents
Making Decisions with AI Agents
Building Simple AI Agents
Applying AI Agents in Real Life
Working with AI Agent Cycles
Key Highlights
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About this course
This free AI Agents course provides you with the foundational skills to understand and build intelligent systems that can act autonomously. You'll learn the key features of AI agents and explore their types, covering the history of AI Agents, Architectures, How They Work, Features, Types, and decision-making models such as rule-based, goal-based, and reinforcement learning. We have also included Popular Frameworks and Tools for building AI Agents, AI Agent Applications & Industry Use Cases for AI Agents. focusing on how they perceive their environment, make decisions, and act to achieve specific goals. You’ll gain hands-on experience in building a simple AI agent using Python and decision-making models like rule-based, goal-based, and reinforcement learning. By applying these models, you’ll learn how to process analytical data and adapt decisions to achieve desired outcomes.
Through practical coding exercises, you’ll design an AI agent capable of completing basic tasks, implementing decision algorithms, and structuring AI agent behaviors effectively. By the end of this free AI agents with certificate course, you’ll have the skills to create and optimize simple AI agents, equipping you with valuable expertise to apply in various industries where AI-driven decision-making is essential.
Course outline
Overview of AI Agents
In this module, the course will introduce you to AI agents through explanations about their key features and the different types that exist. You’ll also explore how these agents perceive their environment, make decisions, and act autonomously to achieve specific goals, with examples of their applications across various industries.
Making Decisions Using AI Agents
In this module, you'll learn about the decision-making models that power AI agents, such as rule-based, goal-based, and reinforcement learning. The models equip you to use analytical data processing, which enables decision adaptation for achieving precise goals.
Building a Simple AI Agent
In this module, you'll learn to build a simple AI Agent using Python. Implementing decision-making algorithms will enable your agent to complete basic tasks through hands-on coding that also shows you how to structure AI Agent behaviors
Get access to the complete curriculum once you enroll in the course
Stand out with an industry-recognized certificate
10,000+ certificates claimed, get yours today!
Get noticed by top recruiters
Share on professional channels
Globally recognised
Land your dream job
Building Intelligent AI Agents
0.75 Hours
Beginner
3.6K+ learners enrolled so far
Get free course content
Master in-demand skills & tools
Test your skills with quizzes
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End-to-End NLP with Python: Build Chatbots and LLM Applications
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Our course instructor
Ms. Sneha VK
ChatGPT and Generative AI Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is the Building Intelligent AI Agents course about?
This free course introduces AI agents, their features, types, and decision-making models like rule-based, goal-based, and reinforcement learning. You'll also learn to build a simple AI Agent using Python and explore real-world applications.
Do I need prior programming knowledge to take this course?
The free AI agents course is for beginners and applies to students without prior experience. Basic programming expertise, especially in Python software, will maximize your experience with the practical coding parts.
What skills will I gain from this course?
The course provides expertise in AI Agent comprehension along with decision-making methodologies, basic Python agent development, real-world AI applications, and agent performance enhancement techniques.
Are there any prerequisites for this course?
This course requires no special experience apart from elementary Python programming skills and a fundamental background in AI concepts, although the content was specifically created for new students.
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